Scientia Agricultura Sinica ›› 2026, Vol. 59 ›› Issue (6): 1157-1171.doi: 10.3864/j.issn.0578-1752.2026.06.002

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Genome-Wide Association Study-Based Identification of Loci Controlling Mature Embryo Size in Chinese Wheat Landraces and Their Genetic Effects Analysis

YE MeJin1,6(), WU Lei2(), MD NAHIBUZZAMAN Lohani2, YIN Li2, HU XinRong2, LIU YaXi2, JIANG YunFeng2, CHEN GuoYue2, PU ZhiEn3, LI Yang3, LI Ting2,4, ZOU YaYa2,5, WU JiaYi1, MA Jian2()   

  1. 1 College of Chemistry and Life Sciences, Chengdu Normal University, Chengdu 611130
    2 Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130
    3 Agronomy College, Sichuan Agricultural University, Chengdu 611130
    4 Characteristic Industry Development Center, Bureau of Agriculture and Rural Affairs of Zhaohua District, Guangyuan 628021, Sichuan
    5 Yan'an Academy of Agricultural Sciences, Yan'an 716000, Shaanxi
    6 Leshan Engineering Technology Research Center for Innovative Utilization of Feature Plant Resources, Leshan 61400, Sichuan
  • Received:2025-08-17 Accepted:2025-10-02 Online:2026-03-16 Published:2026-03-24
  • Contact: MA Jian

Abstract:

【Objective】As a critical component of wheat grains, the embryo is closely correlated to nutritional value, germination, and seedling establishment. Mining embryo size loci from genetically diverse Chinese wheat landraces and deciphering their genetic effects will enhance our understanding of the genetic basis of embryo size and provide molecular targets for future breeding programs. 【Method】We genotyped 240 Chinese wheat landraces using the 660K SNP array and performed genome-wide association studies (GWAS) via a mixed linear model, integrating embryo size phenotypic data across three environments. Significant loci were subjected to genetic effect analysis and candidate gene prediction. 【Result】Phenotypic variation ranges across environments and BLUP values were: embryo length (1.64-3.43 mm), width (0.93-2.58 mm), area (1.10-5.71 mm2), and length-to-width ratio (1.06-2.08), with broad-sense heritabilities of 0.76, 0.47, 0.54, and 0.60, respectively. Significant positive correlations (r=0.271-0.922) existed among embryo traits, and between major embryo traits (length, width, area) and grain length or thousand-kernel weight. A total of 18 stable SNP loci significantly associated with embryo length and area were identified across two environments and BLUP values, which were clustered into four quantitative trait locus (QTL) intervals. These included three QTLs for embryo length and one for embryo area, with colocalization observed between QEA.sicau.3B and QEL.sicau.3B.2. For the major QTL QEL.sicau.1B, we predicted nine candidate genes. Genetic effect analysis revealed that the increasing allele of QEL.sicau.1B significantly enhanced embryo length, grain length and width, thousand-kernel weight, and reduced flowering time, while demonstrating superior effects on seedling root dry weight and shoot biomass, albeit with minor negative impacts on tiller number and spikelet number. Comparative analysis suggested both QEL.sicau.1B and QEL.sicau.3B.2 represent novel loci. 【Conclusion】GWAS identified four stable loci significantly associated with embryo size, among which nine potential candidate genes were predicted for the major embryo-length QTL (QEL.sicau.1B). The study demonstrated significant positive correlations between embryo size and grain dimensions, and revealed a functional association with seedling root vigor.

Key words: Triticum aestivum L., embryo size, SNP markers, GWAS, agronomic traits, root traits, candidate genes

Fig. 1

Diagram of measurement for the mature embryo of a wheat kernel"

Fig. 2

Frequency distribution of various embryo size related traits in different environments EL: Embryo length; EW: Embryo width; EA: Embryo Area; EL/EW: Embryo length/embryo width; EL/KL: Embryo length/kernel length; EW/KW: Embryo width/kernel width. 2020YA: 2020 Yaan; 2021CZ: 2021Chongzhou; 2021PX: 2021Pixian. The same as below"

Table 1

Phenotypic assessment of the natural population"

性状 Trait 环境Environment 最小值Min 最大值Max 平均值Mean 标准差 Standard deviation 广义遗传力 H2
胚长
EL (mm)
2020YA 1.94 3.43 2.63 0.23 0.76
2021CZ 1.74 2.38 2.01 0.11
2021PX 1.64 2.50 2.06 0.13
BLUP 2.06 2.44 2.23 0.07
胚宽
EW (mm)
2020YA 1.61 2.58 2.07 0.19 0.47
2021CZ 0.97 1.58 1.12 0.07
2021PX 0.93 1.55 1.15 0.09
BLUP 1.38 1.53 1.45 0.02
胚面积
EA (mm2)
2020YA 2.38 5.71 3.95 0.67 0.54
2021CZ 1.25 2.20 1.63 0.17
2021PX 1.10 2.79 1.71 0.21
BLUP 2.18 2.76 2.43 0.09
胚长宽比
EL/EW
2020YA 1.06 1.71 1.27 0.09 0.60
2021CZ 1.22 1.95 1.80 0.09
2021PX 1.28 2.08 1.79 0.11
BLUP 1.54 1.74 1.62 0.03

Fig. 3

Correlation coefficients of embryo length (A), embryo width (B), embryo area (C), embryo length/width ratio (D) in three different environments and BLUP *, ** and ***, significance at 0.05, 0.01, and 0.001 probability level, respectively. The same as below"

Table 2

Coefficients of pairwise Pearson correlations between embryo size, agronomic traits and seedling root traits"

性状
Traits
胚长
EL
胚宽
EW
胚面积
EA
胚长宽比
EL/EW
胚长粒长比
EL/KL
胚宽粒宽比
EW/KW
胚相关性状
Embryo-related traits
胚宽 EW 0.703**
胚面积 EA 0.896** 0.922**
胚长宽比 EL/EW 0.366** -0.357** 0.003
胚长粒长比 EL/KL 0.362** 0.307** 0.371** 0.112
胚宽粒宽比 EW/KW 0.271** 0.370** 0.369** -0.091 0.190**
农艺性状
Agronomic traits
有效分蘖数 ETN -0.168** -0.241** -0.203** 0.135* 0.128* 0.237**
小穗数 SNS -0.06 -0.123 -0.086 0.113 0.245** 0.160*
粒长 KL 0.334** 0.179** 0.249** 0.144* -0.756** -0.007
粒宽 KW 0.064 0.103 0.066 -0.079 -0.058 -0.885**
千粒重 TKW 0.256** 0.243** 0.239** -0.023 -0.378** -0.522**
株高 PH -0.189** -0.141* -0.170** -0.038 0.107 -0.428**
开花期 AD -0.134* -0.236** -0.172** 0.227** 0.187** 0.251**
根相关性状
Root-related traits
根平均直径 RAD 0.023 0.016 0.032 0.033 -0.016 -0.086
最大根长 MRL 0.062 -0.001 0.022 0.099 0.027 0.018
根干重 RDW 0.191** 0.165* 0.178** 0.007 -0.315** -0.017
根表面积 RSA 0.023 0.049 0.02 -0.092 -0.122 0.131*
根尖数 RTN 0.052 0.099 0.053 -0.106 0.037 -0.028
根体积 RV 0.123 0.096 0.11 0.02 -0.163* 0.006
地上部干重 SDW 0.075 0.091 0.084 -0.041 -0.094 0.105
总根长 TRL 0.044 0.022 0.024 0.043 -0.035 0.083

Fig. 4

Population Structure and LD half decay analysis A: Delta K values plotted against the number of clusters (K); B: LD half decay analysis"

Table 3

GWAS-based identification of stably expressed loci for embryo size"

位点
QTL
单核苷酸多态性
SNP
染色体
Chromosome
物理位置
Position (bp)
位点
Allele
显著性阈值
-log10(P)
贡献率
R2(%)
环境
Environments
QEL.sicau.1B AX-111181581 1B 141343104 T/G 3.10-3.94 3.27-4.19 2021CZ, 2021PX, BLUP
QEL.sicau.3B.1 AX-111538915 3B 719495993 T/A 3.73-4.31 1.59-1.85 2021CZ, 2021PX, BLUP
AX-109479189 3B 718925366 C/G 3.42-4.02 1.85-2.44 2021CZ, 2021PX, BLUP
QEL.sicau.3B.2 AX-110440810 3B 142585929 A/G 3.13-3.62 1.24-1.45 2021CZ, 2021PX, BLUP
AX-109903451 3B 142577728 C/T 4.09-4.93 2.71-3.04 2021CZ, 2021PX, BLUP
AX-108783107 3B 142558781 A/G 3.57-4.79 1.59-2.02 2021CZ, 2021PX, BLUP
AX-111075885 3B 142547414 T/C 3.33-3.86 1.27-1.60 2021CZ, 2021PX, BLUP
AX-110920483 3B 143376780 G/A 3.93-5.22 1.85-2.31 2021CZ, 2021PX, BLUP
AX-109278255 3B 142586814 T/C 3.36-5.15 1.35-1.96 2021CZ, 2021PX, BLUP
AX-111064212 3B 142532066 G/A 3.16-4.64 1.82-2.63 2021CZ, 2021PX, BLUP
AX-111737137 3B 142590393 A/G 3.29-4.19 1.50-1.79 2021CZ, 2021PX, BLUP
AX-109414729 3B 143379652 T/C 3.93-5.22 1.85-2.31 2021CZ, 2021PX, BLUP
AX-109002351 3B 142585807 A/G 3.20-3.88 1.51-1.68 2021CZ, 2021PX, BLUP
QEA.sicau.3B AX-111064212 3B 142532066 G/A 3.22-3.93 1.87-2.18 2021CZ, 2021PX, BLUP
AX-108783107 3B 142558781 A/G 3.22-4.35 1.40-1.82 2021CZ, 2021PX, BLUP
AX-109903451 3B 142577728 C/T 3.67-4.43 2.15-2.88 2021CZ, 2021PX, BLUP
AX-110920483 3B 143376780 G/A 3.52-4.32 1.63-1.85 2021CZ, 2021PX, BLUP
AX-109414729 3B 143379652 T/C 3.52-4.32 1.63-1.85 2021CZ, 2021PX, BLUP

Fig. 5

Manhattan diagram and Q-Q diagram of embryo length of wheat under different environments A: 2020 Yaan; B: 2021Chongzhou; C: 2021Pixian; D: BLUP. The red dotted line refers to the threshold of -log10(P)=3. The same as below"

Fig. 6

Manhattan diagram and Q-Q diagram of embryo area of wheat under different environments A: 2020 Yaan; B: 2021Chongzhou; C: 2021Pixian; D: BLUP"

Fig. 7

Effects of QEL.sau.1B (AX-111181581) on agronomic traits ns: No significant difference. The same as below"

Fig. 8

Effects of QEL.sau.1B (AX-111181581) on root traits"

Table 4

Prediction and annotation of candidate genes for QEL.sicau.1B of embryo length in wheat"

候选基因 Candidate genes 基因注释或编码蛋白 Gene annotation or coding proteins 水稻同源基因 Homologs in rice
TraesCS1B02G114700 F-box家族蛋白F-box family protein OsFbox375, OsFbox376, OsFbox253
TraesCS1B02G114800 F-box家族蛋白F-box family protein OsFbox375, OsFbox376
TraesCS1B02G114900 F-box家族蛋白F-box family protein OsFbox375
TraesCS1B02G115400 细胞凋亡相关蛋白2 Programmed cell death protein 2 Null
TraesCS1B02G115500 WD重复域蛋白 WD-repeat protein OsWD40-68, OsWD40-45, WDR5a, MAC3B
TraesCS1B02G191700LC 逆转录病毒相关Pol多聚蛋白LINE-1
Retrovirus-related Pol polyprotein LINE-1
Null
TraesCS1B02G196100LC 酪氨酰-DNA磷酸二酯酶1 Tyrosyl-DNA phosphodiesterase 1 Null
TraesCS1B02G196200LC 甘油-3-磷酸脱氢酶[NAD(P)+]
Glycerol-3-phosphate dehydrogenase [NAD(P)+]
Null
TraesCS1B02G196600LC HAT家族二聚化域蛋白 HAT family dimerisation domain containing protein DAYSLEEPER

Fig. 9

Expression heat map of candidate genes for QEL.sicau.1B of embryo length in wheat"

[1]
RAJ R, SHAMS R, PANDEY V K, DASH K K, SINGH P, BASHIR O. Barley phytochemicals and health promoting benefits: A comprehensive review. Journal of Agriculture and Food Research, 2023, 14: 100677.

doi: 10.1016/j.jafr.2023.100677
[2]
OLSON R A, FREY K J. Nutritional quality of cereal grains: genetic and agronomic improvement// Madison W I. USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 1987.
[3]
MOORE C, REBETZKE G. Genomic regions for embryo size and early vigour in multiple wheat (Triticum aestivum L.) populations. Agronomy, 2015, 5(2): 152-179.

doi: 10.3390/agronomy5020152
[4]
RICHARDS R A, LUKACS Z. Seedling vigour in wheat-sources of variation for genetic and agronomic improvement. Australian Journal of Agricultural Research, 2002, 53(1): 41.

doi: 10.1071/AR00147
[5]
REBETZKE G J, LÓPEZ-CASTAÑEDA C, BOTWRIGHT ACUÑA T L, CONDON A G, RICHARDS R A. Inheritance of coleoptile tiller appearance and size in wheat. Australian Journal of Agricultural Research, 2008, 59(9): 863.
[6]
PETERSON C M, KLEPPER B, RICKMAN R W. Seed reserves and seedling development in winter wheat. Agronomy Journal, 1989, 81(2): 245-251.

doi: 10.2134/agronj1989.00021962008100020022x
[7]
FORBIS T A, FLOYD S K, DE QUEIROZ A. The evolution of embryo size in angiosperms and other seed plants: Implications for the evolution of seed dormancy. Evolution, 2002, 56(11): 2112-2125.

pmid: 12487343
[8]
LI X X, INGVORDSEN C H, WEISS M, REBETZKE G J, CONDON A G, JAMES R A, RICHARDS R A. Deeper roots associated with cooler canopies, higher normalized difference vegetation index, and greater yield in three wheat populations grown on stored soil water. Journal of Experimental Botany, 2019, 70(18): 4963-4974.

doi: 10.1093/jxb/erz232 pmid: 31089708
[9]
REBETZKE G J, ZHANG H, INGVORDSEN C H, CONDON A G, RICH S M, ELLIS M H. Genotypic variation and covariation in wheat seedling seminal root architecture and grain yield under field conditions. Theoretical and Applied Genetics, 2022, 135(9): 3247-3264.

doi: 10.1007/s00122-022-04183-z
[10]
SHEWRY P R. Improving the protein content and composition of cereal grain. Journal of Cereal Science, 2007, 46(3): 239-250.

doi: 10.1016/j.jcs.2007.06.006
[11]
NEUBERGER T, SREENIVASULU N, ROKITTA M, ROLLETSCHEK H, GÖBEL C, RUTTEN T, RADCHUK V, FEUSSNER I, WOBUS U, JAKOB P, et al. Quantitative imaging of oil storage in developing crop seeds. Plant Biotechnology Journal, 2008, 6(1): 31-45.

doi: 10.1111/j.1467-7652.2007.00294.x pmid: 17894785
[12]
GHAFOOR K, ÖZCAN M M, AL-JUHAıMı F, BABıKER E E, SARKER Z I, AHMED I A M, AHMED M A. Nutritional composition, extraction, and utilization of wheat germ oil: A review. European Journal of Lipid Science and Technology, 2017, 119(7): 1600160.

doi: 10.1002/ejlt.v119.7
[13]
董玉琛, 郑殿升. 中国小麦遗传资源. 北京: 中国农业出版社, 2000: 38-40.
DONG Y C, ZHENG D S. Wheat Genetic Resources in China. Beijing: China Agriculture Press, 2000: 38-40. (in Chinese)
[14]
DONG Y J, TSUZUKI E, KAMIUNTEN H, TERAO H, LIN D Z. Mapping of QTL for embryo size in rice. Crop Science, 2003, 43(3): 1068-1071.

doi: 10.2135/cropsci2003.1068
[15]
LI X W, WANG M, ZHANG R Y, FANG H, FU X Y, YANG X H, LI J S. Genetic architecture of embryo size and related traits in maize. The Crop Journal, 2022, 10(1): 204-215.

doi: 10.1016/j.cj.2021.03.007
[16]
LÓPEZ-CASTAÑEDA C, RICHARDS R A, FARQUHAR G D, WILLIAMSON R E. Seed and seedling characteristics contributing to variation in early vigor among temperate cereals. Crop Science, 1996, 36(5): 1257-1266.

doi: 10.2135/cropsci1996.0011183X003600050031x
[17]
CHEN X X, SU Z Y, ZHENG Y P, LI C, MA J, MA J, SHI F S, HU H Y, LIU C J, ZHENG Z. Unveiling the genetic architecture of barley embryo: QTL mapping, candidate genes identification and its relationship with kernel size and early vigour. Theoretical and Applied Genetics, 2025, 138(1): 32.

doi: 10.1007/s00122-025-04817-y pmid: 39843841
[18]
GOLAN G, OKSENBERG A, PELEG Z. Genetic evidence for differential selection of grain and embryo weight during wheat evolution under domestication. Journal of Experimental Botany, 2015, 66(19): 5703-5711.

doi: 10.1093/jxb/erv249 pmid: 26019253
[19]
陈吉浩, 周界光, 曲翔汝, 王素容, 唐华苹, 蒋云, 唐力为, 兰秀锦, 魏育明, 周景忠, 等. 四倍体小麦胚大小性状QTL定位与分析. 中国农业科学, 2023, 56(2): 203-216. doi: 10.3864/j.issn.0578-1752.2023.02.001.
CHEN J H, ZHOU J G, QU X R, WANG S R, TANG H P, JIANG Y, TANG L W, LAN X J, WEI Y M, ZHOU J Z, et al. Mapping and analysis of QTL for embryo size-related traits in tetraploid wheat. Scientia Agricultura Sinica, 2023, 56(2): 203-216. doi: 10.3864/j.issn.0578-1752.2023.02.001. (in Chinese)
[20]
WANG S R, WANG T Y, XUAN Q J, QU X R, XU Q, JIANG Q T, PU Z E, LI Y, JIANG Y F, CHEN G Y, et al. Major and stably expressed QTL for traits related to the mature wheat embryo independent of kernel size. Theoretical and Applied Genetics, 2023, 136(4): 90.

doi: 10.1007/s00122-023-04346-6 pmid: 37000252
[21]
WU L, LI Y T, SU L X, LI W, LIU Y L, CHEN G D, XU Q, JIANG Y F, PU Z E, JIANG Y, et al. Identification, characterization, and associations with agronomic traits and early vigor of mature wheat embryo size loci. Theoretical and Applied Genetics, 2025, 138(8): 175.

doi: 10.1007/s00122-025-04944-6 pmid: 40622407
[22]
LIU Y X, LIN Y, GAO S, LI Z Y, MA J, DENG M, CHEN G Y, WEI Y M, ZHENG Y L. A genome-wide association study of 23 agronomic traits in Chinese wheat landraces. The Plant Journal, 2017, 91(5): 861-873.

doi: 10.1111/tpj.13614 pmid: 28628238
[23]
YAO F J, GUAN F N, DUAN L Y, LONG L, TANG H, JIANG Y F, LI H, JIANG Q T, WANG J R, QI P F, et al. Genome-wide association analysis of stable stripe rust resistance loci in a Chinese wheat Landrace panel using the 660K SNP array. Frontiers in Plant Science, 2021, 12: 783830.

doi: 10.3389/fpls.2021.783830
[24]
唐华苹, 陈黄鑫, 李聪, 苟璐璐, 谭翠, 牟杨, 唐力为, 兰秀锦, 魏育明, 马建. 基于55K SNP芯片的普通小麦穗长非条件和条件QTL分析. 中国农业科学, 2022, 55(8): 1492-1502. doi: 10.3864/j.issn.0578-1752.2022.08.002.
TANG H P, CHEN H X, LI C, GOU L L, TAN C, MU Y, TANG L W, LAN X J, WEI Y M, MA J. Unconditional and conditional QTL analysis of wheat spike length in common wheat based on 55K SNP array. Scientia Agricultura Sinica, 2022, 55(8): 1492-1502. doi: 10.3864/j.issn.0578-1752.2022.08.002. (in Chinese)
[25]
姚琦馥, 陈黄鑫, 周界光, 马瑞莹, 邓亮, 谭陈芯雨, 宋靖涵, 吕季娟, 马建. 基于16K SNP芯片的小麦株高QTL鉴定及其遗传分析. 中国农业科学, 2023, 56(12): 2237-2248. doi: 10.3864/j.issn.0578-1752.2023.12.001.
YAO Q F, CHEN H X, ZHOU J G, MA R Y, DENG L, TAN C, SONG J H, J J, MA J. QTL identification and genetic analysis of plant height in wheat based on 16K SNP array. Scientia Agricultura Sinica, 2023, 56(12): 2237-2248. doi: 10.3864/j.issn.0578-1752.2023.12.001. (in Chinese)
[26]
姚琦馥, 周界光, 王健, 陈黄鑫, 杨瑶瑶, 刘倩, 闫磊, 王瑛, 周景忠, 崔凤娟, 等. 小麦穗长QTL鉴定及其遗传分析. 中国农业科学, 2023, 56(24): 4814-4825. doi: 10.3864/j.issn.0578-1752.2023.24.002.
YAO Q F, ZHOU J G, WANG J, CHEN H X, YANG Y Y, LIU Q, YAN L, WANG Y, ZHOU J Z, CUI F J, et al. Identification and genetic analysis of QTL for spike length in wheat. Scientia Agricultura Sinica, 2023, 56(24): 4814-4825. doi: 10.3864/j.issn.0578-1752.2023.24.002. (in Chinese)
[27]
张智源, 周界光, 刘家君, 王素容, 王同著, 赵聪豪, 尤佳宁, 丁浦洋, 唐华苹, 刘燕林, 等. 基于遗传解析新模式的小麦寡分蘖QTL的鉴定和验证. 作物学报, 2024, 50(6): 1373-1383.
ZHANG Z Y, ZHOU J G, LIU J J, WANG S R, WANG T Z, ZHAO C H, YOU J N, DING P Y, TANG H P, LIU Y L, et al. Identification and verification of low-tillering QTL based on a new model of genetic analysis in wheat. Acta Agronomica Sinica, 2024, 50(6): 1373-1383. (in Chinese)

doi: 10.3724/SP.J.1006.2024.31051
[28]
LIU Q, XUAN Q J, LAN Y X, XIE X L, CHEN B, YOU J N, SU L X, LOHANI M N, WU L, HU X R, et al. Genetic identification and characterization of a novel locus for wheat kernel length. Journal of Integrative Agriculture, 2024, https://doi.org/10.1016/j.jia.2024.10.005.
[29]
LIN Y, CHEN G D, HU H Y, YANG X L, ZHANG Z L, JIANG X J, WU F K, SHI H R, WANG Q, ZHOU K Y, et al. Phenotypic and genetic variation in phosphorus-deficiency-tolerance traits in Chinese wheat landraces. BMC Plant Biology, 2020, 20(1): 330.

doi: 10.1186/s12870-020-02492-3 pmid: 32660424
[30]
LI T, MA J, ZOU Y Y, CHEN G D, DING P Y, ZHANG H, YANG C C, MU Y, TANG H P, LIU Y X, et al. Quantitative trait loci for seeding root traits and the relationships between root and agronomic traits in common wheat. Genome, 2020, 63(1): 27-36.

doi: 10.1139/gen-2019-0116 pmid: 31580743
[31]
CHEN H X, WEI J T, TIAN R, ZENG Z Y, TANG H P, LIU Y L, XU Q, DENG M, JIANG Q T, CHEN G Y, et al. A major quantitative trait locus for wheat total root length associated with precipitation distribution. Frontiers in Plant Science, 2022, 13: 995183.

doi: 10.3389/fpls.2022.995183
[32]
CHEN H X, ZHAO C H, YANG Y Y, ZENG Z Y, LI W, LIU Y L, TANG H P, XU Q, DENG M, JIANG Q T, et al. Identification and validation of a locus for wheat maximum root length independent of parental reproductive environment. Frontiers in Plant Science, 2022, 13: 999414.

doi: 10.3389/fpls.2022.999414
[33]
KUMAR P, GILL H S, SINGH M, KAUR K, KOUPAL D, TALUKDER S, BERNARDO A, ST AMAND P, BAI G H, SEHGAL S K. Characterization of flag leaf morphology identifies a major genomic region controlling flag leaf angle in the US winter wheat (Triticum aestivum L.). Theoretical and Applied Genetics, 2024, 137(9): 205.
[34]
PRITCHARD J K, STEPHENS M, DONNELLY P. Inference of population structure using multilocus genotype data. Genetics, 2000, 155(2): 945-959.

doi: 10.1093/genetics/155.2.945 pmid: 10835412
[35]
LI Y L, LIU J X. StructureSelector: A web-based software to select and visualize the optimal number of clusters using multiple methods. Molecular Ecology Resources, 2018, 18(1): 176-177.

doi: 10.1111/men.2018.18.issue-1
[36]
YE X L, LI J, CHENG Y K, YAO F J, LONG L, YU C, WANG Y Q, WU Y, LI J, WANG J R, et al. Genome-wide association study of resistance to stripe rust (Puccinia striiformis f.sp. tritici) in Sichuan wheat. BMC Plant Biology, 2019, 19(1): 147.

doi: 10.1186/s12870-019-1764-4
[37]
YIN L L, ZHANG H H, TANG Z S, XU J Y, YIN D, ZHANG Z W, YUAN X H, ZHU M J, ZHAO S H, LI X Y, et al. rMVP: A memory-efficient, visualization-enhanced, and parallel-accelerated tool for genome-wide association study. Genomics, Proteomics & Bioinformatics, 2021, 19(4): 619-628.
[38]
YU J M, PRESSOIR G, BRIGGS W H, VROH BI I, YAMASAKI M, DOEBLEY J F, MCMULLEN M D, GAUT B S, NIELSEN D M, HOLLAND J B, et al. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nature Genetics, 2006, 38(2): 203-208.

doi: 10.1038/ng1702 pmid: 16380716
[39]
MA S W, WANG M, WU J H, GUO W L, CHEN Y M, LI G W, WANG Y P, SHI W M, XIA G M, FU D L, et al. WheatOmics: A platform combining multiple omics data to accelerate functional genomics studies in wheat. Molecular Plant, 2021, 14(12): 1965-1968.

doi: 10.1016/j.molp.2021.10.006 pmid: 34715393
[40]
MA J, DING P Y, LIU J J, LI T, ZOU Y Y, HABIB A, MU Y, TANG H P, JIANG Q T, LIU Y X, et al. Identification and validation of a major and stably expressed QTL for spikelet number per spike in bread wheat. Theoretical and Applied Genetics, 2019, 132(11): 3155-3167.

doi: 10.1007/s00122-019-03415-z pmid: 31435704
[41]
APARICIO N, VILLEGAS D, ARAUS J L, BLANCO R, ROYO C. Seedling development and biomass as affected by seed size and morphology in durum wheat. The Journal of Agricultural Science, 2002, 139(2): 143-150.

doi: 10.1017/S0021859602002411
[42]
SUN X X, XIE Y H, XU K Z, LI J X. Regulatory networks of the F-box protein FBX206 and OVATE family proteins modulate brassinosteroid biosynthesis to regulate grain size and yield in rice. Journal of Experimental Botany, 2024, 75(3): 789-801.

doi: 10.1093/jxb/erad397
[43]
MIAO R, WANG X, FENG M, CHENG Z J, SHAO J L, ZHOU C L, QIAN J S, LUO Y J, LUO W F, LUO S, et al. The F-box protein RCN127 enhances rice tillering and grain yield by mediating the degradation of OsTB1 and OsTCP19. Plant Biotechnology Journal, 2025, 23(9): 3638-3649.

doi: 10.1111/pbi.70180 pmid: 40488633
[44]
RADCHUK V, TRAN V, HILO A, MUSZYNSKA A, GÜNDEL A, WAGNER S, FUCHS J, HENSEL G, ORTLEB S, MUNZ E, et al. Grain filling in barley relies on developmentally controlled programmed cell death. Communications Biology, 2021, 4: 428.

doi: 10.1038/s42003-021-01953-1 pmid: 33785858
[45]
WU Y Y, LI X R, XIANG W W, ZHU C S, LIN Z W, WU Y, LI J R, Pandravada S, Ridder D D, Bai G H, et al. Presence of tannins in sorghum grains is conditioned by different natural alleles of Tannin 1. Proceedings of the National Academy of Sciences of the United States of America, 2012, 109(26): 10281-10286.
[46]
WU Q Y, XU F, LIU L, CHAR S N, DING Y Z, JE B I, SCHMELZ E, YANG B, JACKSON D. The maize heterotrimeric G protein β subunit controls shoot meristem development and immune responses. Proceedings of the National Academy of Sciences of the United States of America, 2020, 117(3): 1799-1805.
[47]
CHEN W K, CHEN L, ZHANG X, YANG N, GUO J H, WANG M, JI S H, ZHAO X Y, YIN P F, CAI L C, et al. Convergent selection of a WD 40 protein that enhances grain yield in maize and rice. Science, 2022, 375(6587): eabg7985.

doi: 10.1126/science.abg7985
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